White Paper
For a long time, numerous blockchain projects have ended in failure, mainly due to the fact that the linking approach (e.g. QR codes, RFIDs, etc.) between blockchain data and real objects are easy to be forged, and the high difficulty to achieve high accuracy of the original data before uploading it to the blockchain. In order to meet this challenge, Prof. Cheng Xi'en and computer vision experts from Fudan University jointly developed the smart forensic apparatus, through which a microscopic fingerprint image of the physical surface enlarged by N (N≥180) times is captured and uploaded to the IPFS for storage, and then collected by the identity authenticated public chain account and converted into the NFT. When verifying the fingerprints, the identity of the issuer is confirmed first, and then a microscopic image of the real object in the same location with the same magnification is captured and compared with the NFT fingerprint image through artificial intelligence algorithm, so as to link the trillion assets in real world to the blockchain world.
DNA WhitePaper(DownLoad)
